1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.LG2024
Safe Reinforcement Learning with Learned Non-Markovian Safety Constraints
Siow Meng Low, Akshat Kumar
In safe Reinforcement Learning (RL), safety cost is typically defined as a function dependent on the immediate state and actions. In practice, safety constraints can often be non-M…
cs.AI2022★ 1 cited
Sample-efficient Iterative Lower Bound Optimization of Deep Reactive Policies for Planning in Continuous MDPs
Siow Meng Low, Akshat Kumar, Scott Sanner
Recent advances in deep learning have enabled optimization of deep reactive policies (DRPs) for continuous MDP planning by encoding a parametric policy as a deep neural network and…